Results 121 to 130 of about 32,330 (255)

Probing the Challenge of P‐Type Semiconductors in Long‐Chain VOC Detection: 3D Micro‐Flower Zinc Cobaltate Heterojunction Sensors

Advanced Science, EarlyView.
Fe@WO3/ZnCo2O4 n‐p heterojunction sensor exhibits excellent room‐temperature sensing toward tetradecane, with a low detection limit of 78.4 ppb and short recovery time. The good performance is attributed to synergistic effects from heterojunctions, heteroatom doping, oxygen vacancies, high‐energy facets, and theoretical validations.
Kewei Liu, Zichen Zheng, Yiwen Zhou, Carla Bittencourt, Marc Debliquy, Chao Zhang   +5 more
wiley   +1 more source

Exploring highly dispersive optical solitons and modulation instability in nonlinear Schrödinger equations with nonlocal self phase modulation and polarization dispersion. [PDF]

Sci Rep
Hasan WM, Ahmed HM, Ahmed AM, Rezk HM, Rabie WB.   +4 more
europepmc   +1 more source

Detection of Metal Impurity Particles in Lead‐Acid Battery Electrolyte Based on Lens‐Free Digital Holography Technology

Advanced Science, EarlyView.
This study introduces a lens‐free digital holography (LDH) method for detecting metal impurities in lead‐acid battery electrolytes. Using a green LED and CMOS camera, the technique captures holograms and analyzes reconstruction distances and gray‐scale differences.
Liang Xue, Hao Zhou, Hao Chen, Zhihao Jiang, Chao Jiang, Haoyang Cui   +5 more
wiley   +1 more source

Diverse solitons wave structures for coupled NLSEs in birefringent fibers with higher nonlinearities using the modified extended mapping algorithm. [PDF]

Sci Rep
Ahmed KK, Alsahafi NA, Ahmed HM, Boulaaras S, Osman MS.   +4 more
europepmc   +1 more source

Stiffness‐Tunable Neurotentacles for Minimally Invasive Implantation and Long‐Term Neural Activity Recordings

Advanced Science, EarlyView.
A hydraulically actuated “Neurotentacle” probe offers tunable stiffness for precise implantation into the deep brain without rigid shuttles or dissolvable coatings. It stiffens during insertion to penetrate tissue and softens afterward to minimize damage and enable stable long‐term recordings.
Yang Wang, Xing Xu, Xiaowei Yang, Rongyu Tang, Ying Chen, Shan Zang, Yijun Wang, Jing Liang, Weihua Pei   +8 more
wiley   +1 more source

Development of several machine learning based models for determination of small molecule pharmaceutical solubility in binary solvents at different temperatures. [PDF]

Sci Rep
Alqarni M, Alqarni A.
europepmc   +1 more source

Biomimetic Analysis of Neurotransmitters for Disease Diagnosis through Light‐Driven Nanozyme Sensor Array and Machine Learning

Advanced Science, EarlyView.
A novel photoresponsive nanozyme sensor array, combining metal‐organic frameworks (MOFs) with advanced machine learning algorithms, provides a breakthrough in rapid neurotransmitter detection and disease diagnostics. This sensor array is capable of accurately identifying neurotransmitter profiles associated with neurological disorders, offering ...
Kun Yu, Siyuan Lu, Kaiwen Qiu, Yuanzun Zhang, Aobing Sun, Shiqi Gong, Kai Wang, Xuzhu Gao, Xiangyu Xu, Hao Wang   +9 more
wiley   +1 more source

Some Peculiarities of Using the Extended Finite Element Method in Modelling the Damage Behaviour of Fibre-Reinforced Composites. [PDF]

Materials (Basel)
Kozák V, Vala J.
europepmc   +1 more source

Super‐Resolution Compatible DNA Labeling Technique Reveals Chromatin Mobility and Organization Changes During Differentiation

Advanced Science, EarlyView.
A novel chromatin‐labeling probe is developed to investigate chromatin mobility during differentiation. The silicon rhodamine–conjugated dCTP is efficiently delivered into iPSCs and NSCs using a synthetic transporter. Super‐resolution microscopy and single‐particle tracking show decreased chromatin mobility during differentiation.
Maruthi K. Pabba, Miroslav Kuba, Tomáš Kraus, Kerem Celikay, Janis Meyer, Sunil Kumar Pradhan, Andreas Maiser, Hartmann Harz, Heinrich Leonhardt, Karl Rohr, Michal Hocek, M. Cristina Cardoso   +11 more
wiley   +1 more source

Gauss Newton Method for Solving Variational Problems of PDEs with Neural Network Discretizaitons. [PDF]

J Sci Comput
Hao W, Hong Q, Jin X.
europepmc   +1 more source